class AudioCNN(nn.Module): def __init__(self): super(AudioCNN, self).__init__() self.conv1 = nn.Conv2d(1, 10, kernel_size=5) # 1 input channel (mono), 10 output channels self.conv2 = nn.Conv2d(10, 20, kernel_size=5) self.fc1 = nn.Linear(320, 50) # Assuming the output of conv2 is 320
# Assuming a custom dataset class `AudioDataset` for loading WAV files and converting them into spectrograms estim wav files
You need three things: